摘要
为探究京津冀地区森林植被碳储量时空分布规律,运用国家青藏高原科学数据中心获取碳储量数据,结合数字高程(DEM)模型,采用ArcGIS10.2、GeoDa1.16等空间分析工具,分析京津冀地区2005-2020年森林地上和地下森林碳储量动态变化及其空间分布。结果表明:(1)京津冀地区2005-2020年森林碳储量总体呈上升趋势。(2)森林碳储量随海拔高度和坡度的增加均呈现出先增后减的趋势。其中,高程500~1000 m地带森林碳储量最多,森林碳储量为35.58~44.58 Mt,最大值出现在2020年,最小值为出现在2005年;坡度16°~25°地带森林碳储量最多,森林碳储量24.76~31.45 Mt,最大值出现在2020年,最小值出现在2005年。在北向坡森林碳储量最多,森林碳储量为13.73~17.14 Mt,最大值出现在2020年,最小值出现在2005年。(3)研究区森林碳储量表现出聚集状态;局部莫兰指数(LISA)聚集主要表现为高度聚集的低-低聚集和高-高聚集特征。京津冀森林碳储量呈增长趋势,随不同地形因子(坡度、高程、坡向)的变化而变化,且主要分布在京津冀东北部地区。
In order to explore the spatio-temporal distribution pattern of forest vegetation carbon stocks in the Beijing-Tianjin-Hebei region,this paper uses the carbon stock data obtained from the National Tibetan Plateau Scientific Data Center,combines with the Digital Elevation Model(DEM),and adopts spatial analysis tools such as ArcGIS10.2 and GeoDa1.16 to analyze the dynamic changes and spatial distribution of above-ground and below-ground forest carbon stocks in the Beijing-Tianjin-Hebei region from 2005 to 2020.The results show that:(1)The total forest carbon stocks in the Beijing-Tianjin-Hebei region showed an upward trend from 2005 to 2020.(2)The forest carbon stocks first increased and then decreased with the increase of altitude and slope.Among them,the forest carbon stocks were the highest in the area with an elevation of 500-1000 m,ranging from 35.58 to 44.58 Mt.The maximum value appeared in 2020,and the minimum value appeared in 2005.The forest carbon stocks were the highest in the area with a slope of 16°-25°,ranging from 24.76 to 31.45 Mt.The maximum value appeared in 2020,and the minimum value appeared in 2005.The forest carbon stocks were the highest on the north-facing slope,ranging from 13.73 to 17.14 Mt.The maximum value appeared in 2020,and the minimum value appeared in 2005.(3)The forest carbon stocks in the study area showed an aggregated state.The Local Indicators of Spatial Association(LISA)aggregation mainly showed the characteristics of low-low aggregation and high-high aggregation with a high degree of aggregation.The forest carbon stocks in Beijing,Tianjin and Hebei showed a growth trend,and changed with the changes of different topographic factors(slope,elevation,slope aspect),and were mainly distributed in the northeastern region of the Beijing-Tianjin-Hebei region.
作者
张金雨
杨新兵
孟祥嵩
Zhang Jinyu;Yang Xinbing;Meng Xiangsong(Hebei Agricultural University,Baoding 071000,P.R.China)
出处
《东北林业大学学报》
北大核心
2025年第7期75-83,共9页
Journal of Northeast Forestry University
基金
河北省林草关键技术创新与示范项目(2408103)
河北省林业和草原科学技术研究项目(2201067)。
关键词
森林植被碳储量
海拔
坡度
坡向
空间格局
Forest vegetation carbon stock
Altitude
Slope
Slope aspect
Spatial pattern
